Function cov_v2

src/statistics/mod.rs:236–252

Compute covariance of two Arrays # Parameters - `x` is the first Array - `y` is the second Array - `bias_kind` of type [VarianceBias][1] denotes the type of variane to be computed # Return Values An Array with Covariance values [1]: ./enum.VarianceBias.html

(x: &Array<T>, y: &Array<T>, bias_kind: VarianceBias)

///
/// [1]: ./enum.VarianceBias.html
pub fn cov_v2<T>(x: &Array<T>, y: &Array<T>, bias_kind: VarianceBias) -> Array<T::MeanOutType>
where
    T: HasAfEnum + CovarianceComputable,
    T::MeanOutType: HasAfEnum,
{
    unsafe {
        let mut temp: af_array = std::ptr::null_mut();
        let err_val = af_cov_v2(
            &mut temp as *mut af_array,
            x.get(),
            y.get(),
            bias_kind as c_uint,
        );
        HANDLE_ERROR(AfError::from(err_val));
        temp.into()
    }
}

/// Compute covariance of two Arrays
///